Developing a Clinical Prediction Rule for First Hospital-Onset Clostridium difficile Infections: A Retrospective Observational Study. (28th April 2016)

• Record Type: Journal Article
• Authors: Press, Anne; Ku, Benson; McCullagh, Lauren; Rosen, Lisa; Richardson, Safiya; McGinn, Thomas
• Is Part Of: Infection control and hospital epidemiology. Volume 37:Number 8(2016)
• Page Start: 896
• Page End: 900
• Publication Date: 2016-04-28
• Subjects: Nosocomial infections -- Epidemiology -- Periodicals; Health facilities -- Sanitation -- Periodicals; Hospital buildings -- Sanitation -- Periodicals; Cross Infection -- Periodicals; Epidemiology -- Periodicals; Hospitals -- Periodicals; Infection Control -- Periodicals; 614.44
• DOI: 10.1017/ice.2016.97
• Languages: English
• ISSNs: 0899-823X

Abstract

Abstract : BACKGROUND: The healthcare burden of hospital-acquired Clostridium difficile infection (CDI) demands attention and calls for a solution. Identifying patients' risk of developing a primary nosocomial CDI is a critical first step in reducing the development of new cases of CDI. OBJECTIVE: To derive a clinical prediction rule that can predict a patient's risk of acquiring a primary CDI. DESIGN: Retrospective cohort study. SETTING: Large tertiary healthcare center. PATIENTS: Total of 61, 482 subjects aged at least 18 admitted over a 1-year period (2013). INTERVENTION: None. METHODS: Patient demographic characteristics, evidence of CDI, and other risk factors were retrospectively collected. To derive the CDI clinical prediction rule the patient population was divided into a derivation and validation cohort. A multivariable analysis was performed in the derivation cohort to identify risk factors individually associated with nosocomial CDI and was validated on the validation sample. RESULTS: Among 61, 482 subjects, CDI occurred in 0.46%. CDI outcome was significantly associated with age, admission in the past 60 days, mechanical ventilation, dialysis, history of congestive heart failure, and use of antibiotic medications. The sensitivity and specificity of the score, in the validation set, were 82.0% and 75.7%, respectively. The area under the receiver operating characteristic curve was 0.85. CONCLUSION: This study successfully derived a clinical prediction rule that will help identify patients at high risk for primary CDI. This tool will allow physicians to systematically recognize those at risk for CDI and will allow for early interventional strategies. Infect Control Hosp Epidemiol 2016;37:896–900